JSPM

Pre-trained English-language model weights for `@energetic-ai/embeddings`.

JavaScript SDK for AgentDB database service

Ziri — AI code context CLI (per-repo stores, streaming embeddings, multi-repo registry)

A NodeJS RAG framework to easily work with LLMs and custom datasets

Gentrace Pinecone v1 plugin for Node.JS

Production-ready MCP server with complete agent integration, multi-transport support, and comprehensive development automation tools for AI-assisted workflows.

AI toolkit by Q9Labs with vector search, memory, and deep search utilities

Codai Better Database - High-Performance Vector Memory System with HPKV-inspired architecture and MCP server

Open Source Alternative for Building End-to-End Vector Search Applications without OpenAI & Pinecone

Get millions of financial documents into your AI app 🚀

Typescript bindings for langchain

EnergeticAI is TensorFlow.js, optimized for serverless environments, with fast cold-start, small module size, and great usability.

AI Memory MCP Server - Persistent memory and codebase understanding for AI coding assistants

An intelligent code compliance checker and embedding search tool for Claude Code

The easiest way to use LLMs, including streams, images, documents, tools and various agent scenarios.

Typescript bindings for langchain

Tiny helper to generate sentence-transformers embeddings via @xenova/transformers in Node.js and the browser.

AI-powered hexagonal framework with OpenAI integration, database adapters, web scraping, and Next.js demo application

Lightweight Cosine Similarity Function. Built as an alternative to the compute-cosine-similarity package. Works with high dimension vectors like openAI embeddings

MCP server for searching Hex package documentation

GigaChat integration for LangChain.js

Central Nervous System MCP Server for Autonomous Multi-Agent Orchestration with free local embeddings

Typescript bindings for langchain

Simple text embeddings library

Interfaces for extending the embedjs ecosystem

Mixedbread AI Provider for running Mixedbread AI models with Vercel AI SDK

Public types, enums and options used by Llumiverse API.

Advanced n8n node for Puter.js AI with RAG agentic capabilities, document processing, audio transcription, Supabase integration, and cost-optimized model priorities

Brain MCP Server - Semantic knowledge base access for Claude Code via Model Context Protocol. Provides intelligent search and navigation of files from multiple locations through native MCP tools.

Useful util functions when extending the embedjs ecosystem

A service for calculating, managing, truncating openai prompt tokens

CLI tool for managing the Mixedbread platform.

typescript and wasm bindings for Hnswlib

Zero-dependency, modular SDK for building robust natural language applications

Web page loader for embedjs

Client for the Vectorize API

Core indexing and search functionality for h-codex

Enhanced Google Gemini embeddings node for n8n with direct API integration and custom dimensions support

PDF loader for embedjs

MCP server for semantic code search powered by MongoDB Atlas Vector Search and Voyage AI embeddings

Enable usage of OpenAI models with embedjs

Provide an universal API to LLMs. Support for existing LLMs can be added by writing a driver.

TypeScript client library for AI Search API - search and retrieve intelligent responses with context awareness

Semantic Web Memory for Intelligent Agents

Composable TypeScript toolkit for LLM pipelines, semantic chunking, and AI workflow orchestration.

Core vector search engine for code intelligence

JavaScript NAPI bindings for faiss

Run AI models anywhere.

Word, PPT and Excel loader for embedjs

Orama plugin for generating embeddings locally

A lightweight and efficient vector database for storing and searching text embeddings in the browser's local storage. The package uses OpenAI's API to generate embeddings for text documents and provides functionality for similarity search, filtering, and

A TypeScript MCP server for document management and semantic search with embeddings

In-memory vector database

MCP server for SwiftOpenAI - access OpenAI APIs through Model Context Protocol

embeddings service for chatluna

PAMPA – Protocol for Augmented Memory of Project Artifacts (MCP compatible)

Neural Vector Database for efficient similarity search

Production-ready RAG (Retrieval-Augmented Generation) framework for Next.js applications with PostgreSQL + pgvector

CSV loader for embedjs

Add LanceDb support to embedjs

A CLI tool for storing and searching development memories, insights, and patterns using Supabase and OpenAI embeddings

Load images into embedjs

Best-in-class MCP (Model Context Protocol) server for AI memory storage with MIRIX-Inspired Specialized Memory Types (Core, Episodic, Semantic, Procedural, Resource, Knowledge Vault), Progressive Disclosure, AI-Powered Summaries, Context Window Optimizati

Sitemap recursive loader for embedjs

n8n community sub-node for Google Gemini Embeddings with extended features like output dimensions support

SDK for interacting with RagFlow API

Hybrid semantic router with BM25 + dense embedding search

XML loader for embedjs

Add MongoDB support to embedjs

Add LibSQL support to embedjs

Automatically and continuously vectorize your PostgreSQL tables with the flexibility of your own embedding pipelines

Official TypeScript client library for Lunos AI API - A comprehensive AI proxy service supporting chat completions, image generation, audio synthesis, embeddings, and more.

n8n community node for SAP HANA Vector Store integration with LangChain

n8n community node for SiliconFlow AI models - chat completions, vision language models, embeddings, and reranking

LLM driver implementations. Currently supported are: openai, huggingface, bedrock, replicate.

Jina AI Provider for running Jina AI models with Vercel AI SDK

n8n community sub-node for Google Vertex AI Embeddings with output dimensions and configurable batch size support - resolves LangChain compatibility issues

XML loader for embedjs

Vector search SDK for LibSQL

Intelligent AI Gateway for routing requests to optimal language models with Vercel AI SDK provider support

n8n nodes for SAP AI Core LLM and embeddings integration

TypeScript SDK optimized for GPT-OSS 20 and GPT-OSS 120 models - High-performance training and inference

Simplified advanced memory engine - no tiers, just powerful semantic search with persistence

Youtube transcript and channel recursive loader for embedjs

MCP server for enhanced Qdrant vector database functionality

Advanced n8n node for Agentic RAG with Supabase pgvector - handles structured/unstructured documents with AI-powered query refinement

Vector search with HNSWlib and SQLite in TypeScript.

The TypeScript Code Extractor and Analyzer can be handy for RAG (Retrieval-Augmented Generation) systems for codebases. It provides a detailed and structured representation of the codebase that can be converted into embeddings, enabling more effective adv

Enable usage of Ollama with embedjs

Add HNSWLib support to embedjs

Official TypeScript/JavaScript SDK for EdgeVector - Edge-native multi-paradigm database with AI-first features

Official TypeScript/JavaScript SDK for EdgeVector DB - A globally distributed, edge-native database platform combining document storage, vector search, time series, and real-time streaming

MCP server for codebase indexing with Voyage AI embeddings and Qdrant vector storage

Lightning-fast Euclidean distance search using locality-sensitive hashing. Compress high-dimensional vectors into tiny fingerprints for 10× faster similarity search with 99% less memory usage.

Lightning-fast cosine similarity search using locality-sensitive hashing. Compress high-dimensional vectors into tiny fingerprints for 10× faster similarity search with 99% less memory usage.

n8n nodes for OpenRouter AI API integration

Official TypeScript/JavaScript SDK for EdgeVector - Edge-native multi-paradigm database with AI-first features

Official TypeScript/JavaScript SDK for Hashub Vector API - High-quality multilingual text embeddings with Turkish excellence

A fast, client-side vector search and embedding library.

Vercel AI SDK対応のインメモリRAG実装 - In-memory RAG implementation with Vercel AI SDK support

SPARC 2.0 - Autonomous Vector Coding Agent + MCP. SPARC 2.0, vectorized AI code analysis, is an intelligent coding agent framework built to automate and streamline software development. It combines secure execution environments, and version control into a

The easiest way to use LLMs, including streams, images, documents, tools and various agent scenarios.

MongoDB-powered Memory Bank MCP server with hybrid search capabilities for AI assistants

Local, cost-free vector store for text embeddings and similarity search (soon) in-browser and Node.js.

AI-powered code intelligence with semantic search and natural language querying

MCP server for the Mixedbread Platform

Typescript bindings for langchain-gpt4all

Custom embedding node for n8n to work with Supabase Vector Store

Confluence loader for embedjs

LU (Layer Understanding) is a lightweight framework for controlled chatbot interactions with LLMs, action orchestration, and retrieval-augmented generation (RAG).

The memory layer for Personalized AI in Typescript

Unified SDK for AI-powered context and personalization

Relationships between Backbone models in the flavor of MongoDB's document references and embeddings

Unified SDK for AI agent personalization

Run AI prediction functions in your JavaScript and Node.js apps.

A code context tool with vector search and real-time monitoring, with optional Git integration.

n8n node for OpenAI Analytics

The intelligent context optimization system for AI coding assistants. Built with Cole's PRP methodology, Context Portal knowledge graphs, and production-ready MongoDB architecture.

Convenient interface for utilizing various embedding models via API and locally.

DataStax RAGStack for Javascript/Typescript

MCP server with SQLite vec0 and Ollama embeddings for graph-based semantic memory

Add Qdrant support to embedjs

Enable usage of HuggingFace models with embedjs

Fast, type-safe utilities for vector embedding comparison and search.

A TypeScript/JavaScript module for implementing Retrieval-Augmented Generation (RAG) using Qdrant vector database, Google's Generative AI embeddings, and Groq LLM.

RAG (Retrieval Augmented Generation) library for MongoDB Vector Search

The core foundation of the Mastra framework, providing essential components and interfaces for building AI-powered applications.

Add Pinecone support to embedjs

NodeJS client for worka

Open Source Alternative for Building End-to-End Vector Search Applications without OpenAI & Pinecone

MCP server for RAG-based document search and management

Stateful AI agent memory layer for PostgreSQL with pgvector - TypeScript-first with intelligent context management

Add Redis support to embedjs

Add LMDB support to embedjs

Heroku Managed Inference and Agents provider for the Vercel AI SDK

Promptbook: Run AI apps in plain human language across multiple models and platforms

DataStax RAGStack CLI

A library for creating and managing embeddings with PCA and k-means clustering.

Enable usage of Node-Llama-Cpp with embedjs

A NodeJS RAG framework to easily work with LLMs and custom datasets

MCP Rag search of the customer related informations

🏠 Teach AI to understand natural language like a patient tutor. Advanced embedding-based function calling with semantic understanding, confidence scoring, and natural language parameter extraction.

n8n community node for Zilliz vector database with full RAG support

Add CosmosDB support to embedjs

A LangChain-based tool to answer questions strictly from PDF content using Groq LLM and local embeddings.

A lightweight memory-based vector store with persistent storage support for both Node.js and browser environments. Efficiently store, retrieve, and search vector embeddings with minimal dependencies.

Matches a given phrase to the best match in a database and determines the wildcards using a slot filler. This is like a regex, but much more flexible for phrase matching and alignment.

Simple neural sentence search.

The Retrieval-Augmented Generation (RAG) module contains document processing and embedding utilities.

Enhanced vector database with HNSW indexing, WAL, error recovery, and production-ready features. Based on Vectra by Steven Ickman.

A toolkit for AI based conversations

High-performance Node.js client for Antarys vector database with HTTP/2, connection pooling, and intelligent caching

Enable usage of Cohere models with embedjs

AI in payload

Typescript bindings for langchain

Typescript bindings for langchain

A robust LLaMA Node.js library with enhanced error handling and segfault fixes

(Unofficial) Voyage AI Embeddings node for n8n

MCP server for Milvus vector database with semantic and full-text search capabilities

The core foundation of the Mastra framework, providing essential components and interfaces for building AI-powered applications.

Typescript bindings for langchain

A NodeJS RAG framework to easily work with LLMs and custom datasets

tSNE is a dimension reduction and vector projection method. It's main use is in visualizing high-dimensional vectors, such as text embeddings, in 2D or 3D plots.

Fast, easy-to-use AI few-shot text classification.

A TypeScript SDK for embedding generation

N8N node for generating text embeddings using Transformer.js with direct text input

MCP server to search qdrant database

A powerful memory stack for AI applications with vector embeddings

Add Weaviate support to embedjs

Automatically tag your Hexo posts with GPT-3｜使用GPT-3自动为Hexo文章添加标签

Needle AI n8n nodes

A tool to process markdown files from GitHub repositories and store them in Upstash Vector

Convenient interface for utilizing various embedding models via API and locally.

Enable usage of Node-Llama-Cpp with embedjs

MCP server para enviar información a webhook de n8n

CLI tool to create modern Node.js projects with TypeScript, AI capabilities, and more

Small English 50-dimensional word-embedding dataset compatible with wink-nlp.

Vector database backend lib for ArchiveNet

bert-as-service client for NodeJS

DeepSeek Embeddings for n8n

Typescript bindings for langchain

Turn your AI assistant into a codebase expert. Intelligent code analysis, semantic search, and software engineering guidance through MCP integration.

MCP server for PostgreSQL with pgvector semantic search capabilities

Enable usage of Anthropic models with embedjs

Node.js bindings for faiss

Node.js bindings for faiss

A Model Context Protocol (MCP) server for Supavec that enables AI assistants to fetch relevant embeddings and content

Enterprise-grade AI-powered JSDoc generation for large TypeScript monorepos with advanced features, multi-LLM support, and intelligent caching

Hugging face Embeddings function for Chroma Db.

typescript and wasm bindings for Hnswlib with storage agnostic

Add Qdrant support to embedjs

MCP server for Mixedbread vector store operations

A JavaScript code tokenizer for ease in using with code embeddings and vector storage.

A Node.js/TypeScript library for the Nvidia API, similar to openai-node.

Store and search embeddings

An incredibly easy-to-use command-line interface and API for LLM (Large Language Model) prompts. Supports OpenAI and Stability AI. Contributions are welcome to add support for additional vendors.

Enable usage of HuggingFace models with embedjs

The Retrieval-Augmented Generation (RAG) module contains document processing and embedding utilities.

Confluence loader for embedjs

A flexible text and data chunking library for vector databases and LLMs

Add AstraDB support to embedjs

A lightweight and efficient vector database for storing and searching text embeddings in the browser's local storage. The package uses Transformers.js to generate embeddings for text documents and provides functionality for similarity search, filtering, a

Distance Comparison Preserving Encryption for secure searchable vector embeddings

Compute embeddings of text/images with CLIP model

An NPM package for generating quick, context-aware responses for conversation systems

A NodeJS RAG framework to easily work with LLMs and custom datasets

🔍 A local semantic caching library for Node.js.

A flexible text and data chunking library for vector databases and LLMs

Node.js package for Tychos API

This is a react component library for carbon.ai.

Add HNSWLib support to embedjs

Add CosmosDB support to embedjs

TypeScript SDK for Supabase AI/RAG operations with pgvector

Vector database Engine for ArchiveNET

AI Memory Booster - A memory-enhanced AI chat module with storage capabilities.

FAISS-based high-performance KNN search addon for Node.js

Create, updates, and removes embeddings of the repository files, using Voyage and Pinecone

An advanced TypeScript SDK for OpenAI API with built-in context management, proxy support, streaming, and enhanced error handling. Includes logging, retry mechanism, and fully typed responses for seamless AI integration.

Add LMDB support to embedjs

A client side vector search library

A typescript library to split your long texts into smaller chunks to send them to OpenAI Embeddings API

The core foundation of the Mastra framework, providing essential components and interfaces for building AI-powered applications.

A NodeJS RAG framework to easily work with LLMs and custom datasets

Maintain remote vector stores with your repository content - GitHub Action and CLI tool

Add Weaviate support to embedjs

A lightweight local vector database implementation in Node.js similar to ChromaDB

Enable usage of Mistral models with embedjs

Agentic RAG system for analyzing IL2CPP dump.cs files from Unity games

Rag chatbot for business

OpenAI integrations for LangChain.js

Enable usage of VertexAI models with embedjs

TypeScript SDK for Ollama API by Tekimax

A lightweight and efficient vector database for storing and searching text embeddings in the browser's local storage. The package supports multiple Embedding providers (OpenAI, Ollama and HuggingFace Transformers) to generate embeddings for text documents

Helpers for working with vector embeddings

Add Pinecone support to embedjs

Easy to manage collections mapped to local or remote sources.

TypeScript implementation of memory agent sdk

Use local LLMs in your browser and Node.js apps.

Toolkit for creating LLM-driven chatbots.

Inspired by LangMem, nodemem-js is a fast, in-memory vector database for Node.js, designed for efficient similarity search of vector embeddings. Perfect for building chat agent memory and semantic retrieval systems.

As default EmbeddingsOpenAi node, but with proxy support

ai agent knowledge base management tool

Enable usage of Anthropic models with embedjs

Add MongoDB support to embedjs

React Hook for [`indexed-vector-store`](https://github.com/danielivanovz/indexed-vector-store) package. Used for [demo](https://github.com/danielivanovz/indexed-vector-store-demo) and deployed at my [website](https://app.danielivanov.me/vector-database/).

Shapeshift is a TypeScript library that maps arbitrarily structured JSON objects using vector embeddings. It uses semantic similarity to match keys between objects, allowing for flexible and intelligent object transformation, including support for nested

Typescript bindings for langchain

Model Context Protocol server for local vector search

An NPM package for semantic caching of GPT responses using Redis and ANN.

A typescript library to split your long texts into smaller chunks to send them to OpenAI Embeddings API